Abstract
Occurrences of disaster lead to problems in information retrieval about damaged land properties as it is a time-consuming task, and one that entails a lot of bureaucracy. In this paper we will discuss a specific method using blockchain technology and specialized equipment to collect and register land property information. That information is critical for individuals, governments as well as insurance companies for evaluating risk associated with disasters. For reasons of data integrity and transparency, all of this information is available in a form on a public blockchain ledger.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
https://github.com/alex-z-charalampidis/smart-contract-dod19
Saveen A Abeyratne and Radmehr P Monfared. “Blockchain ready manufacturing supply chain using distributed ledger”. In: International Journal of Research in Engineering and Technology 5.9 (2016). Data Accessedd in January 2019, pp. 1–10.
Georg Becker. “Merkle signature schemes, merkle trees and their cryptanalysis”. In: Ruhr-University Bochum, Tech. Rep (2008).
Martha Liliana Carreño, Omar Dario Cardona, and Alex H Barbat. “A disaster risk management performance index”. In: Natural Hazards 41.1 (2007), pp. 1–20.
Martha-Liliana Carreño, Omar D Cardona, and Alex H Barbat. “Urban seismic risk evaluation: a holistic approach”. In: Natural Hazards 40.1 (2017), pp. 137–172.
Rachel Davidson. “EERI annual student paper award a multidisciplinary urban earthquake disaster risk index”. In: Earthquake Spectra 13.2 (1997), pp. 211–223.
D Eckstein, V Künzel, and L Schäfer. Global climate risk index 2018. Germanwatch, 33. 2017.
Farin Fatemi et al. “Social vulnerability indicators in disasters: Findings from a systematic review”. In: International journal of disaster risk reduction 22 (2017), pp. 219–227.
Valentina Gatteschi et al. “Blockchain and smart contracts for insurance: Is the technology mature enough?” In: Future Internet 10.2 (2018), p. 20.
Anne Goes and Jerry R Skees. Financing natural disaster risk using charity contributions and ex ante index insurance. Tech. rep. 2003.
Lars Hakanson. “An ecological risk index for aquatic pollution control. A sedimentological approach”. In: Water research, 14.8 (1980), pp. 975–1001.
Sven Harmeling. “Global Climate Risk Index 2009”. In: Weather (2008).
Mohammed Shariful Islam, Mohammad Shahidul Hasan Swapan, and Shamim Mahabubul Haque. “Disaster risk index: How far should it take account of local attributes?” In: International journal of disaster risk reduction 3 (2013), pp. 76–87.
Hyong S Kim and Ke Wang. “Immutability measure for different blockchain structures”. In: 2018 IEEE 39th Sarnoff Symposium. IEEE. 2018, pp. 1–6.
Sönke Kreft et al. “Global climate risk index 2014”. In: Who suffers most from extreme weather events 1 (2013).
Regio A Michelin et al. “SpeedyChain: A framework for decoupling data from blockchain for smart cities”. In: Proceedings of the 15th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services. 2018, pp. 145–154
Pedcris M Orencio and Masahiko Fujii. “A localized disaster-resilience index to assess coastal communities based on an analytic hierarchy process (AHP)”. In: International Journal of Disaster Risk Reduction 3 (2013), pp. 62–75.
Kazım Rıfat Özyılmaz and Arda Yurdakul. “Work-in-progress: integrating low-power IoT devices to a blockchain-based infrastructure”. In: 2017 International Conference on Embedded Software (EMSOFT). IEEE. 2017, pp. 1–2.
Pascal Peduzzi et al. “Assessing global exposure and vulnerability towards natural hazards: the Disaster Risk Index”. In: Natural Hazards and Earth System Sciences 9.4 (2009), p. 1149.
Centre for Research on the Epidemiology of Disasters. “EM-DAT: the international disaster database”. In: Centre for Research on the Epidemiology of Disasters Brussels. 2011.
Pradip Kumar Sharma, Mu-Yen Chen, and Jong Hyuk Park. “A software defined fog node based distributed blockchain cloud architecture for IoT”. In: Ieee Access 6 (2017), pp. 115–124.
Peijun Shi et al. “World atlas of natural disaster risk”. In: World Atlas of natural disaster risk. Springer, 2015, pp. 309–323.
Chung-Hung Tsai and Cheng-Wu Chen. “The establishment of a rapid natural disaster risk assessment model for the tourism industry”. In: Tourism Management 32.1 (2011), pp. 158–171.
Hoang Tam Vo et al. “Blockchain-based data management and analytics for micro-insurance applications”. In: Proceedings of the 2017 ACM on Conference on Information and Knowledge Management. 2017, pp. 2539–2542.
Shuai Wang et al. “An overview of smart contract: architecture, applications, and future trends”. In: 2018 IEEE Intelligent Vehicles Symposium (IV). IEEE. 2018, pp. 108–113.
Web3. web3.js - Ethereum Javascript. Data Accessed in January 2019. Mar. 2019. https://web3js.readthedocs.io/.
Muhammad Saqib Niaz and Gunter Saake. “Merkle Hash Tree based Techniques for Data Integrity of Outsourced Data”. In: GvD. (2015), pp. 66–71.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Papangelou, S., Charalampidis, Z.A. (2021). Land Property Data Logging on Blockchain Ledger. In: Kotsireas, I.S., Nagurney, A., Pardalos, P.M., Tsokas, A. (eds) Dynamics of Disasters. Springer Optimization and Its Applications, vol 169. Springer, Cham. https://doi.org/10.1007/978-3-030-64973-9_13
Download citation
DOI: https://doi.org/10.1007/978-3-030-64973-9_13
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-64972-2
Online ISBN: 978-3-030-64973-9
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)